Abstract
We propose a novel method for quantitative interpretation of uncalibrated optical images which is derived explicitly from an analysis of the image formation model. Parameters characterising the tissue are recovered from images acquired using filters optimised to minimise the error. Preliminary results are shown for the skin, where the technique was successfully applied to aid the diagnosis and interpretation of non-melanocytic skin cancers and acne; and for the more challenging ocular fundus, for mapping of the pigment xanthophyll.
| Original language | English |
|---|---|
| Pages (from-to) | 509-516 |
| Number of pages | 8 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3750 |
| DOIs | |
| Publication status | Published - 1 Jan 2005 |
| Event | Proceedings of Medical Image Computing and Computer Assisted Intervention (MICCAI 2005) Part 2 - Duration: 1 Jan 2005 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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